[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fouuEexKgFQvTiWP3S4wHAD7OC-mTYwUUp7G8PRnqc7o":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":13,"question":20,"related":21,"source":33,"type":34},[],"2024-10-31 21:21:10",106105941,[8,9,10,11,12],"x 与 y 之间呈曲线关系","x 与 y 之间呈直线关系","x与y之间关系待定","x 与 y 之间毫无关系","x 与 y 之间没有直线关系",{"count":14,"courseId":15,"courseImg":16,"courseName":17,"workId":18,"workName":19},36,"184f6be2b6efa587a46766a930f074d3","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F25b30343053994e8940089572d36015b.jpg","医学统计学","c2fad4cc1a5748b6ac4d0bf847df99a0","","由样本计算两个随机变量 x 和 y 之间的简单相关系数 r 的值近似等于零,经统计检验得到p=0.90.作结论时,正确的表述应该是()",[22,35,46,56,66,76,79,90,100,111],{"answer":23,"createTime":24,"id":25,"options":26,"question":32,"source":33,"type":34},[],"2023-11-15 20:17:28",106105928,[27,28,29,30,31],"各点到X均数直线的横向距离","各点到X轴的横向距离","各点到回归直线的垂直距离","各点到Y均数直线的垂直距离","各点到回归直线的纵向距离","回归系数的最小二乘估计使其平方和最小的是()","v1",0,{"answer":36,"createTime":37,"id":38,"options":39,"question":45,"source":33,"type":34},[],"2024-10-31 21:19:14",106105931,[40,41,42,43,44],"相关系数越大","回归方程的显著程度越高","应变量的变异越大","应变量的变异越小","自变量对应变量的影响越大","回归分析的决定系数越接近于1,说明()",{"answer":47,"createTime":24,"id":48,"options":49,"question":55,"source":33,"type":34},[],106105936,[50,51,52,53,54],"两变量关系密切的可能性较大","检验显著的可能性较大","决定系数较大","决定系数可能大也可能小","数量依存关系更密切","两组资料作回归分析,直线回归系数b较大的一组,表示()",{"answer":57,"createTime":37,"id":58,"options":59,"question":65,"source":33,"type":34},[],106105939,[60,61,62,63,64],"常数项改变","回归系数改变","常数项和回归系数都改变","常数项和回归系数都不改变","决定系数改变","1&mdash;7岁儿童可以用年龄(岁)估计体重(市斤),回归方程为,若将体重换成国际单位kg,则此方程()",{"answer":67,"createTime":24,"id":68,"options":69,"question":75,"source":33,"type":34},[],106105940,[70,71,72,73,74],"&rho;&gt;0","&rho;=0","&rho;=1","&rho;&ne;0","&rho;&lt;0","相关系数检验的无效假设H1是()",{"answer":77,"createTime":5,"id":6,"options":78,"question":20,"source":33,"type":34},[],[8,9,10,11,12],{"answer":80,"createTime":81,"id":82,"options":83,"question":89,"source":33,"type":34},[],"2024-12-13 21:40:49",106105942,[84,85,86,87,88],"SS总=SS回","SS剩=SS回","其他都可以","SS总&gt;SS剩","SS剩","线性回归分析的原理是对因变量 Y 的总体变异进行分解.它可能出现()",{"answer":91,"createTime":24,"id":92,"options":93,"question":99,"source":33,"type":34},[],106105943,[94,95,96,97,98],"r&gt;0,b&lt;0","r&lt;0,b&gt;0","r&gt;0,b&gt;0","r=b","r与b符号无关","对变量X和Y同时进行简单相关分析和简单回归分析,其结果有()",{"answer":101,"createTime":102,"id":103,"options":104,"question":110,"source":33,"type":34},[],"2024-10-31 21:19:15",106105944,[105,106,107,108,109],"该模型有应用价值","该模型无应用价值","X 与 Y 之间毫无关系","该模型求错了","该模型勉强可用","如果对简单线性回归模型进行显著性检验的结果是不能拒绝H0,这就意味着()",{"answer":112,"createTime":24,"id":113,"options":114,"question":120,"source":33,"type":34},[],106105945,[115,116,117,118,119],"b无统计学意义","b有高度的统计学意义","b有统计学意义","不能确定","b有无统计学意义","对两个数值变量同时进行了相关和回归分析,r 有统计学意义(P&lt;0.05),则()"]